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Cloud Transformation at Telecom Providers.
The report "Cloud Transformation at Telecom Providers" explores how telecommunications companies are undergoing a robust transformation utilizing cloud computing, artificial intelligence (AI), and edge-native architectures. By 2025, the industry shifts towards AI-native networks and autonomous systems, driven by partnerships and open standards. It highlights key milestones in the adoption of hybrid, multi-cloud, and edge-native deployments, as well as the modernization of operations and business support systems. Special emphasis is on integrating AI-driven strategies to improve efficiency, reduce costs, and foster new service models.
5G and 6GCloud TransformationDigital InfrastructureSub-Saharan Africa cloud servicestelecom modernization
Gaurav K, EZ Research
2025-11-03
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Single User License56Pages of Deep Analysis
15Credible Sources Referenced
6Data Analysis Tables
9Proprietary AI Visuals
Perspective.
PurposeTo explore the transformative impact of cloud technologies on telecom providers, including AI and edge-native architectures.
AudienceTelecommunications industry professionals, technology strategists, and business executives.
Report LengthComprehensive
Focus Areas.
Industries JobsTelecommunications, AI and cloud infrastructure roles, operational managers.
Geographic AreasGlobal focus, with specific examples from North America, Asia-Pacific, and Europe.
Special EmphasisEmphasis on AI, sustainability, operational efficiency, and regulatory compliance.
Report Layout.
Introduction to Cloud Transformation in Telecommunications
- Contemporary drivers of cloud adoption
- Evolution from cloud-native to AI-native
Telecommunications Industry Cloud Maturity Assessment
- Current adoption rates
- Modern maturity frameworks
Strategic Approaches to Cloud Transformation
- Designing AI-native architectures
- Greenfield vs. brownfield modernization
Cloud Deployment Models and Architecture
- Hybrid and multi-cloud strategies
- Edge-native and AI-edge models
Network Function Virtualization (NFV) and Cloudification
- Transition to cloud-native network functions
- NFV infrastructure evolution
Network Infrastructure Modernization
- SDN integration
- Transport network evolution
Operations Support Systems (OSS) Transformation
- Migrating legacy OSS to AI-native platforms
- Autonomous operations
Business Support Systems (BSS) Modernization
- AI-driven billing and revenue management
- Order management modernization
Data Management and Analytics Architecture
- AI-ready data lakes
- Real-time and predictive analytics
Security and Governance Frameworks
- AI-native cloud security
- Data protection, privacy, and compliance
Cloud Service Provider Partnerships and Ecosystems
- Hyperscaler partnerships
- Network API monetization strategies
Implementation Methodologies and Project Governance
- Structuring AI-driven programs
- Risk mitigation
Organizational Impact and Change Management
- Workforce transformation
- Skill development
Case Studies of Successful Cloud Transformations
- Tier-1 global operators
- Measured business outcomes
Future Trends and Evolution of Telecom Cloud
- AI-native networks evolution
- Quantum computing in telecom
References and Citations
- References list
- Accessing referenced data
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Insights.
Telecom providers are transitioning to AI-native and edge-native networks to enhance agility and efficiency.Strategic alliances and standardized frameworks are critical in accelerating AI integration into networks.AI-powered OSS/BSS transformations enhance operational efficiency and customer engagement.Cloud maturity assessments reveal significant regional disparities in the adoption of AI in telecom.Future trends include the use of quantum computing for optimization and AI marketplaces for innovation.Key Questions Answered.
